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OpenWrt One – Open Hardware Router

https://openwrt.org/toh/openwrt/one
67•peter_d_sherman•41m ago•20 comments

AMD Ryzen AI Halo – $4k AI Dev Kit

https://www.lttlabs.com/articles/2026/07/06/amd-ryzen-ai-halo
179•LabsLucas•4h ago•142 comments

Kani: A Model Checker for Rust

https://arxiv.org/abs/2607.01504
69•Jimmc414•3h ago•2 comments

Aluminum foil (2021)

https://dernocua.github.io/notes/aluminum-foil.html
188•firephox•5h ago•80 comments

Resetting Xbox

https://news.xbox.com/en-us/2026/07/06/resetting-xbox/
235•dijksterhuis•4h ago•178 comments

Road to Elm 1.0

https://elm-lang.org/news/faster-builds
257•wolfadex•7h ago•110 comments

Egypt Is Building a New Nile

https://www.theb1m.com/video/egypt-is-building-a-new-nile
65•geox•2d ago•6 comments

Real-time map of Great Britain's rail network

https://www.map.signalbox.io
340•scrlk•9h ago•127 comments

Stealth robotics startup (YC S26) is hiring principal engineers (Palo Alto)

1•david-venegas•2h ago

Pros and Cons of Solo Development

https://johnjeffers.com/pros-and-cons-of-solo-development/
45•johnj-hn•39m ago•11 comments

I Like Small Keyboards

https://samsm.ch/small-keyboards/
33•surprisetalk•5d ago•31 comments

OfficeCLI: Office suite for AI agents to read and edit Microsoft Office files

https://github.com/iOfficeAI/OfficeCLI
33•maxloh•2h ago•3 comments

The AI Superforecasters Are Here

https://www.astralcodexten.com/p/the-ai-superforecasters-are-here
45•surprisetalk•3h ago•39 comments

Show HN: Pulpie – Models for Cleaning the Web

https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cleaning-the-web/
43•snyy•2h ago•11 comments

Januscape: Guest-to-Host Escape in KVM/x86 [CVE-2026-53359]

https://github.com/V4bel/Januscape
15•Imustaskforhelp•1h ago•3 comments

CS2 Fog Of War: Server-sided anti-wallhack occlusion culling for CS2 servers

https://github.com/karola3vax/CS2FOW
46•LorenDB•3h ago•14 comments

1k Words: A Writing Contest

https://writingclub.world/1picture1000words
58•surprisetalk•3h ago•26 comments

Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario

https://www.wsj.com/tech/ai/ai-workers-tech-ceos-job-losses-afc71e15
60•Brajeshwar•1h ago•39 comments

Clojure 1.13 adds support for checked keys

https://clojure.org/news/2026/07/02/clojure-1-13-alpha1
139•FelipeCortez•3d ago•29 comments

Fable 5 On Vending-Bench: Misbehaving, With Plausible Deniability

https://andonlabs.com/blog/fable5-vending-bench
140•optimalsolver•6h ago•93 comments

Hobbes – A Language and Embedded JIT Compiler

https://github.com/morganstanley/hobbes
7•ryan-ca•3d ago•0 comments

Fable Built a 3D Model of Aristotle's Cognitive Architecture

https://conceptual-spaces.vercel.app
8•mikemangialardi•1h ago•2 comments

The Supreme Court Just Lit a Fuse Under Flock's License Plate Camera Empire

https://www.yahoo.com/news/politics/articles/supreme-court-just-lit-fuse-130900307.html
68•bilsbie•2h ago•39 comments

A global workspace in language models

https://www.anthropic.com/research/global-workspace
11•in-silico•1h ago•0 comments

Introduction to Genomics for Engineers

https://learngenomics.dev/docs/biological-foundations/cells-genomes-dna-chromosomes/
185•yreg•4d ago•26 comments

When 2+2=5

https://arstechnica.com/security/2026/06/ai-browsers-can-be-lulled-into-a-dream-world-where-guard...
65•noashavit•3d ago•32 comments

Nintendo announces new product revisions in Europe with replaceable batteries

https://www.nintendo.com/en-gb/Support/Nintendo-Switch-2/Information-about-upcoming-battery-relat...
241•akyuu•5h ago•154 comments

Should DayQuil Be Legal?

https://www.theargumentmag.com/p/should-dayquil-be-legal
96•paulpauper•3h ago•137 comments

What Emily Bender meant by "stochastic parrots"

https://spectrum.ieee.org/stochastic-parrot
133•digital55•4h ago•168 comments

Building relationships with customers through support didn't turn out as hoped

https://www.uncommonapps.nyc/p/castro-podcasts-things-i-got-wrong-support
297•dabluck•16h ago•174 comments
Open in hackernews

Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario

https://www.wsj.com/tech/ai/ai-workers-tech-ceos-job-losses-afc71e15
57•Brajeshwar•1h ago

Comments

openquery•1h ago
https://archive.is/Pn7GU
openquery•1h ago
This is all noise. The leaders of these companies are flip-flopping to whatever sounds best for their current agenda - hiring, fundraising, pre-IPO, etc.

The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential. Everything else is transient noise.

FloorEgg•52m ago
> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential

I agree with your sentiment (about the noise), however I think this over simplifies it a bit. We may get AI that is super-human at frontier research and dramatically accelerates the pace, and still have to wait decades before it disrupts the job market (or maybe never displaces all work).

For one, the answer may depend on material science and chip manufacturing that can take a very long to build out a supply chain for even with super AI help.

And we may just find that the human mind is way more capable than we thought and even with accelerating research it's just a harder problem than anyone expected, even algorithmically.

I expect it to be a bit of both, and from ~2015 - 2025 I was in the "AI is coming for all our jobs" camp. My perspective changed last year after doing a deep dive into latest science on the human brain. (I've kept a very close eye on AI dev progress for 12+ years.

openquery•13m ago
> I agree with your sentiment (about the noise), however I think this over simplifies it a bit. We may get AI that is super-human at frontier research and dramatically accelerates the pace, and still have to wait decades before it disrupts the job market (or maybe never displaces all work).

I don't see why that's the case when you have super-human researchers on tap. There are indeed physical (supply chain-y) issues to deal with but isn't the whole point that: 1. Super-human at AI research + scaling to millions of instances will probably result in super-intelligence in everything which is not AI research. (a subset of which is white-collar work) 2. Use that super-intelligence to solve any supply-chain issues you might be facing.

> And we may just find that the human mind is way more capable than we thought and even with accelerating research it's just a harder problem than anyone expected, even algorithmically.

I hope so but whenever I do, I feel like I'm coping hard and not dealing with the facts.

I'm not saying we're there yet - I'm saying the trend lines are clear.

AlexandrB•51m ago
> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential.

What if the answer is flatly: no? All that other stuff starts to matter a lot then.

Predicating your business decisions on a potential breakthrough that may never come is frankly insane. Imagine if at the dawn of the car industry Ford decided that it's actually a race to build the first flying car and nothing else matters.

grey-area•48m ago
> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential.

I think we know the answer to that already - LLMs show no sign of improving intelligence and instead providers are going down the ‘agentic’ rabbit hole.

There are too many things missing, like a world model, understanding, and taste (in the sense of knowing what is good and what is not good).

QuercusMax•39m ago
As long as LLMs don't understand the different between regurgitating facts and making up stories, they're going to necessarily be limited.
fancyfredbot•32m ago
They are taught the difference through reinforcement learning with verifiable rewards. Pretending you've solved the task or making up a story about how you solved it won't do well in that training step.
openquery•2m ago
> LLMs show no sign of improving intelligence and instead providers are going down the ‘agentic’ rabbit hole.

I'm not sure where you're getting this. I don't work at Anthropic but Fable (Mythos) seems demonstrably smarter than Opus for pretty much any definition of smarter and they claim that Opus was used heavily in Mythos development (yeah I know take this with a massive pinch of salt).

Either way if the models are indeed helping development, even on the engineering, you can iterate on models faster and even if they're not contributing to core research yet you still have a baby exponential by improving the engineering.

Bukhmanizer•34m ago
Sure, but let’s not pretend that people treated the statements of these ceos as strategic messaging. People very clearly treated what Altman, Zuck, Amodei etc have been saying as predictions, and it hasn’t been until they’ve been proven wrong that people have started with the counter-narrative.
munk-a•30m ago
It's important not to miss the fact that AI productivity was a useful excuse for companies looking to conduct layoffs. Did some companies buy the hype? Sure - but the biggest companies would have wanted that sweet stock price layoff bump anyways and AI was a readily available justification to get it.
yardie•54m ago
Dumbasses the lot of them.

Took that nonsense to Capitol Hill, trying to tell a bunch of politicians who knew damn well they are only there as long as they can keep their voters employed. They could have asked their own AI what happens when employment reaches 40-50%. Hint: it's never good. They were going to become another problem the government had to solve.

Also, UBI is non-starter no matter what Sam Altman believes.

cliglot•53m ago
Now let’s see if there will be any real consequences for such reckless stupidity: my bet, nah.
uejfiweun•48m ago
Of course not. This coming crash will be where we learn that tech is "too big to fail" in the same way that the financial system is. They'll let one player fail (likely Anthropic, due to the constant fighting with the government) and bail out the rest.
imightbebatman•45m ago
If there ever truly were consequences in the oligarchy of the US, the time for that is long gone now. There will be none.
lifestyleguru•31m ago
Afer COVID and AI, the only buzzword left is WAR. Doesn't rhyme but we are well beyond funny.
gortok•39m ago
> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential. Everything else is transient

As long as the term “AI” means by-and-large LLMs with additional features sprinkled on top, the answer is no. More likely (without careful vetting by the folks aggregating these models) is that the quality will go down as more and more AI-generated output gets subsumed into these models.

Even without that particular problem, LLMs-as-AI can only give us probabilistic outputs based on inputs; and by definition they’re reliant on humans to provide the training data for their model. Without specialized knowledge or training on that knowledge (And even with it, viz. Meta’s engineering), we don’t have to worry about AI itself. We do have to worry what investors who are looking for outsized returns will do to get those returns, job market be damned.

The problem for us isn’t that AI will take our jobs; it’s that snake-oil salesmen can sell the idea that AI will take our jobs, investors buy into it, companies try it, fire their folks, the snake-oil salesmen IPOs, the companies that bought into this idea implode in some form or fashion, and the salesmen have already taken the money and ran. Of course, we still lose our jobs, but maybe (!) we get them back when this all fails?

skybrian•28m ago
It’s no longer true that AI tools primarily get knowledge from their pre-training input data. That gives them a baseline, but nowadays AI chatbots and coding agents routinely assume they need to get up-to-date information in other ways, via web searches and other tool calling.

So I don’t see accuracy declining at least for programming.

gortok•24m ago
> nowadays AI chatbots and coding agents routinely assume they need to get up-to-date information in other ways, via web searches and other tool calling. So I don’t see accuracy declining at least for programming.

How do those chat bots discern that the ‘web searches’ they’re using are returning human generated information only that’s been vetted instead of LLM output?

josefritzishere•35m ago
After watching the AI roll out for a couple years now I'm much more confident that it's just a scam. There is no net positive ROI on AI. It's not good enough, and the "mass job destruction" scenario offsets any marginal gains by eliminating the market for basically all products. That doesn't mean that mediocre C-suites won't try but it only takes 1-2 quarters to feel the burn and back track.
munk-a•25m ago
It's a rather useful tool... and it absolutely has been overhyped repeatedly and sold as a panacea.

If you believe AI will 10x you're developers you've drunk the kool-aid, if you believe AI will have no impact on your developers then you're being stubbornly ignorant.

deagle50•30m ago
Of course they have. Fewer developers means fewer tokens sold.

Until AI no longer needs human supervision, it's more profitable to tax as many employees as possible.

deadbabe•3m ago
You do not need developers to spend tokens, regular people can spend tokens just as easily.
drivingmenuts•30m ago
I kind of wish there was a way to flip the script on the companies that gave up on humans and tried to switch to AI. Make them suffer for their idiocy in the same way that workers suffered or continue to suffer.

If that makes me a bad person, fine. If a few CEO's wind up working at 7-11 to make rent money, all the better.

gigel82•29m ago
Yet layoffs excused by AI (expenses or claimed productivity gains) are continuing by the thousands each day, so... not sure what this is based on.
skybrian•25m ago
This is just based on Ramp’s data about their customers, but it seems that some companies are hiring more people after adopting AI?

https://econlab.substack.com/p/we-can-finally-say-ai-isnt-ki...

cmiles8•27m ago
The ultimate irony here is that the biggest jobs wipeout most likely to happen now is when all these “AI exploration lab” type teams that every company quickly created are blown up.

Most, if not nearly all, of these teams have little to show ROI wise and the music on the AI bubble is slowing dramatically. They went from seemingly unlimited budgets and headcount when CEOs said “get me some of that AI” to some really uncomfortable scenes playing out know as the same CEOs realize this has cost a fortune with little to show for it.

kerblang•17m ago
In case anyone else read the "flipped on" as "flipped the switch on" rather than "reversed course on", no, it's the latter.
zuzululu•3m ago
big doubts about this. AI is absolutely doing a number on software jobs. Look at some of the SWE positions even something that used to be seen beneath it like QA or database manager etc, it has easily tens of thousands of applicans in months

there is an oversupply of SWE and a dwindling supply of jobs which pushes wages down

article misses an important point that these big tech companies are all listed on the public market, any narrative about their decisions should weigh that reality and why suddenly its being disseminated.

hintymad•2m ago
Remember it was reported that OpenAI didn't think that ChatGPT would be successful? OpenAI thought that ChatGPT was yet another toy before its launch. Yet once ChatGPT became an overnight success, Altman started to talk about how AI would be dangerous, how it would displace or even replace jobs. In contrast, Amodei seemed to always believe in what he said. So, can we say that Altman is a opportunistic businessman, and Amodei is a cult leader?
skybrian•21m ago
It’s true that they are only as good as their input data, but the same is true if you do your own web searches.
WarmWash•17m ago
Every lab is already training on synthetic data and has been for years now.
vitally3643•15m ago
The same way you and I do: vibes

Welcome to the postmodern internet. It's vibes all the way down.

gortok•11m ago
Upvoted you, of course; but it’s worse than that. It’s vibes being marketed as correctness. To the lay person (and unfortunately, to more than a few folks who should know better), computers don’t “make up” information. Maybe some good (in some weird way) that comes from all of this is that we stop using LLMs for recitation of facts.
ako•4m ago
They don't need to, they can use tools to validate their assumptions.
openquery•18m ago
> More likely (without careful vetting by the folks aggregating these models) is that the quality will go down as more and more AI-generated output gets subsumed into these models.

This assumes that there aren't algorithmic breakthroughs which reduce training/inference costs by several OOMs.

How much do these models need to do before people throw their hands in the air and say, ok this is happening. The Erdos unit distance problem, which as far as I understand was approached by multiple competent mathematicians was solved by a frontier model. Sure people argue there was no novelty there (I cannot comment as a non-mathematician) but it feels like they can draw lines laterally from deep knowledge in different fields (in this case combinatorics and algebraic number theory I believe) and solve problems.

Now if you have millions of instances running in parallel, all "probabilistic", working on frontier AI research I really don't see the blocker (and believe me I wish I did).

pier25•4m ago
The only thing that matters is the economy of it all.

Open AI et al are hemorrhaging absurd amounts of money. It's not clear whether there will ever be a good balance between cost, value, and price.

Lots of companies are already questioning the value they get from LLMs at current prices which are obviously not enough to generate profits.